Process Modeling Using BPMN

Part 1: Intro & Core Concepts

1. Models and modeling goals
2. Processes/process types
3. Process modeling
4. BPMN in Context: BPM & BPMS
5. Historical background
6. Comparison with alternative modeling methods

Part 2: BPMN Notation & Element Types

1. BPMN Standard: Notation/symbols, Syntax, and Semantics
2. Modeling levels/palettes: Descriptive, Analytical, Execution
3. Work-performing elements: Processes, Activities (Tasks/Sub-Tasks)
4. Work-routing elements: Sequence & Message Flow, Gateways
5. Work-partitioning elements: Pools & Lanes
6. Events
7. Data Objects
8. Artifacts

Part 3: Descriptive Models (Level 1 Palette)

1. Purpose & target audience
2. Core elements
3. Method and style
4. Examples

Part 4: Analytical Models (Level 2 Palette)

1. Purpose & target audience
2. Additional elements
3. Method and style
4. Examples

Part 5: BPMN Practices

1. Common pitfalls & how to avoid them
2. Best practices

Part 6: Process Analysis & Design, using BPMN

1. BPMN Syntax Validation
2. BPMN Method & Style Validation
3. Tokens & Workflow Patterns
4. Optimizing Processes: Analysis & Design

Part 7: Advanced Topics

1. Process Simulations
2. BPMN Processes and Business Rules/Decisions
3. Event Sub-processes
4. Choreography diagrams
5. Executable models

Part 8: BPM/BPMN Career, Resources

1. IIBA and Process Modeling
2. OMG Certified Expert in BPM (OCEB)
3. Other certifications
4. Resources

Part 9: BPMN Tools

1. Whiteboards, Sticky-Notes, etc.
2. Diagramming tools vs. Modeling tools
3. BPMN vs. BPMS
4. Commercial & Open-source tools

Part 10: Case Study & Hands-on Exercises

Primary audience:

• Business Analysts
• Process Analysts
• Process Owners
• Process Engineers

Secondary audience:

• Business customers/end users
• Product Owners, Project Managers, End users
• Testers
• Anybody interested to understand, capture, analyze, design, and/or optimize processes

• Bridge the communication gap between business and IT
• Enable process collaboration and accountability
• Create high-level (whole-picture) models that describe an organization's end-to-end processes
• Design and optimize processes, by progressively elaborating high-level models (Descriptive level) into hierarchical and more detailed process models (Analytical level)
• Streamline process and requirements documentation by using the same notation and syntax to capture processes at all stages of the SDLC
• Enhance knowledge management (creating, sharing, training, reuse, etc.) by eliminating the need to duplicate and/or translate process definitions
• Increase productivity by enabling process engineers to elaborate Analytical models into Executable models (rather than starting from scratch each time)
• Enable scope management and prioritization
• Facilitate adoption/customization of BPM/BPMN/BPMS tools
• Enable process simulations to validate and optimize busi